agentic Howto
Agentic AI is an advanced form of artificial intelligence that operates autonomously to analyze data, set goals, and take actions with minimal human supervision.
View MoreHow to Use agentic
Define your goal: Clearly articulate the objective you want your agentic AI to accomplish, such as finding bugs, supporting live players, or analyzing game data.
Choose a development framework: Select an agentic AI framework like AutoGen, LangChain, LlamaIndex or Semantic Kernel to build your application.
Set up the environment: Configure your development environment with the necessary tools and APIs, such as Azure OpenAI, Azure AI Search, and Azure Container Apps.
Design the agent architecture: Plan out the components of your agentic AI system, including modules for perception, reasoning, planning, and action execution.
Implement core AI capabilities: Develop the AI's ability to process language, extract features, recognize objects, and represent goals using techniques like NLP and machine learning.
Create the decision-making logic: Program the AI's ability to plan actions, make decisions, and adapt to new situations using algorithms like reinforcement learning.
Integrate with external tools and APIs: Connect your agentic AI to relevant data sources, services, and tools it needs to accomplish its tasks.
Implement safety and ethical guidelines: Build in safeguards, oversight mechanisms, and ethical constraints to ensure responsible AI behavior.
Test and refine: Thoroughly test your agentic AI in various scenarios, analyzing its performance and iteratively improving its capabilities.
Deploy and monitor: Launch your agentic AI application and continuously monitor its performance, making updates as needed.
agentic FAQs
Agentic AI refers to artificial intelligence systems that can act autonomously to achieve goals, without requiring constant human input or prompts. Unlike chatbots, agentic AI can take initiative and perform complex tasks on its own.
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